土木与环境工程学报（中英文）2024，Vol.46Issue(1)：223-231,9.DOI:10.11835/j.issn.2096-6717.2022.145
基于航拍图像与改进U-Net的建筑外墙裂缝检测方法
Building exterior wall crack detection based on aerial images and improved U-Net
摘要
Abstract
Aiming at the problems of low efficiency,unsatisfactory detection effect and poor safety of manual detection methods for building exterior wall cracks,a crack detection method based on aerial images and computer vision was proposed.Firstly,the Unmanned Aerial Vehicle(UAV)was used to collect the crack images through aerial photography around the buildings,and a crack dataset was constructed.Secondly,the U-Net was optimized to solve the problems of discontinuous segmentation of slender cracks as well as the missed and false detection under complex backgrounds.The encoder was replaced with pre-trained ResNet50 to improve the feature expression ability of the model.An improved Atrous Spatial Pyramid Pooling(ASPP)module was added to obtain multi-scale context information.The improved loss function was used to deal with the problem of extremely uneven distribution of positive and negative samples in crack images.Experiments show that the improved U-Net model solved the problems existing in the original model;the IoU and F1-score were increased by 3.53％and 4.18％,respectively.Compared with the classical segmentation model,the improved model has the best crack segmentation performance.Compared with manual detection methods,it can efficiently,accurately,and safely detect building exterior wall cracks.关键词
建筑外墙裂缝/无人机/计算机视觉/语义分割/U-NetKey words
building exterior wall cracks/UAV/computer vision/semantic segmentation/U-Net分类
建筑与水利引用本文复制引用
刘少华,任宜春,郑智雄,牛孜飏..基于航拍图像与改进U-Net的建筑外墙裂缝检测方法[J].土木与环境工程学报（中英文）,2024,46(1):223-231,9.基金项目
湖南省自然科学基金(2021JJ30716) （2021JJ30716）
湖南省高新技术产业科技创新引领计划(2020KG2026) （2020KG2026）
长沙理工大学土木工程优势特色重点学科创新性项目(16ZDXK05)Natural Science Foundation of Hunan Province(No.2021JJ30716) （16ZDXK05）
High-Tech Industry Science and Technology Innovation Leading Plan Project of Hunan Province(No.2020KG2026) （No.2020KG2026）
Civil Engineering Advantage Characteristic Key Discipline Innovation Project of Changsha University of Science and Technology(No.16ZDXK05) （No.16ZDXK05）
